Won Hwa Kim


I am a researcher in Data Science team at NEC Labs. America. I recently completed my Ph.D in Computer Sciences, University of Wisconsin - Madison in Aug. 2017. My advisor was Prof. Vikas Singh (advisor), and I closely collaborated with Prof. Moo K. Chung, Prof. Sterling C. Johnson and Prof. Barbara B. Bendlin .

CV, Google Scholar page


  • Aug. 11, 2017: I succesfull defended! My thesis title is ``A Multi-resolution Framework for Statistical Analysis of Neuroimaging Data''.
  • Feb. 28, 2017: I have a paper accepted in CVPR 2017 (in Honolulu).
  • Jul. 11, 2016: I have a paper accepted in ECCV 2016 (in Amsterdam).
  • Feb. 29, 2016: I have a paper accepted in CVPR 2016 (in Las Vegas) [SPOTLIGHT].
  • Aug. 29, 2015: I have a paper accepted in ICCV 2015 (in Chile).
  • May. 18, 2015: I have a journal paper published in NeuroImage [impact factor: 6.9].
  • Mar. 4, 2015: I have a paper accepted in CVPR 2015 (in Boston).
  • Research Interest

    My research interests lie in multi-resolution analysis of data for various applications in Brain Imaging, Machine Learning and Computer Vision. On the application side, I am particularly interested in developing novel methods to facilitate the analysis of neurodegenerative brain disorders such as Alzheimer’s disease (AD) towards mechanisms for diagnosis, discovering new treatments, and design of new studies. On the technical side, my interests deal with applied harmonic analysis and statistical image analysis.

    Go to Research Page


    I am a 6th year Ph.D candidate in Computer Sciences, University of Wisconsin - Madison. I received a B.S. in Information & Communication Engineering at Sungkyunkwan University (S. Korea) in 2008, and a M.S. in Robotics Program at KAIST (S. Korea) in 2010. Before joining UW-Madison, I worked at Hyundai Motor Company as a reseacher in Hybrid System Testing team (Power Electronics part), Environmental Technology Center during 2010 - 2011. I was also a member of Machine Learning Summer School, UC Santa Cruz, 2012.

    Honor & Awards

  • Doctoral Consortium Travel Award, Computer Vision and Pattern Recognition (CVPR), 2016
  • Student Travel Award, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013
  • Machine Learning Summer School (MLSS) Scholarship, University of California, Santa Cruz, 2012
  • National Fellowship, S. Korea, 2008 - 2010
  • Finalist for the Best Paper in Biomimetics, IEEE International Conference on Robotics and Biomimetics, 2009
  • Merit Based Scholarship, Sungkyunkwan University, 2002, 2003, 2005
  • 3rd Place in 12th Grade, Utah Math Contest, 2001
  • My researches are supported by funding from NIH R01AG040396, NIH R01AG021155, NSF RI1116584, NSF RI1252725, the Wisconsin Partnership Proposal, UW ADRC, and UW ICTR (1UL1RR025011).